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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 23514
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    Explanations

    numbers and measurements related to physical properties such as pH, density, temperatures, and refresh rates

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scientific measurements and properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ovie
    -0.84
    ozy
    -0.75
    amar
    -0.73
    ĪĴ
    -0.72
    bara
    -0.68
    arious
    -0.67
    avor
    -0.67
    lando
    -0.67
    oral
    -0.67
    oyal
    -0.66
    POSITIVE LOGITS
     ratio
    1.27
     slider
    1.24
     calculation
    1.22
     measurement
    1.19
     estimation
    1.17
     ratios
    1.16
     calculator
    1.15
     cutoff
    1.11
     mismatch
    1.11
     gradient
    1.09
    Activations Density 0.273%

    No Known Activations